Sentence examples for coupled gene expression from inspiring English sources

Exact(4)

Several studies have coupled gene expression and physiological parameters in individual cells.

The higher proinsulin output from T1D-protective haplotypes involved at least two levels of tightly coupled gene expression pathways.

Szakacs et al. coupled gene expression and drug activity with bootstrap analysis to identify gene-drug pairs in which the gene potentially predicts resistance to the drug [ 16].

As mentioned in the Introduction, the fourth of the pioneering synthetic prokaryotic circuits coupled gene expression to the metabolic state and was used to improve lycopene production in E. coli (Farmer & Liao, 2000).

Similar(56)

These data suggest that the cellular response to dioxin involves both AHRE- and non-AHRE-mediated transcription, and that coupling gene expression profiling with analysis of morphologic pathogenesis is essential for establishing temporal relationships between transcriptional changes, toxicity, and adaptation to hepatic injury.

Coupling gene expression profile analysis with ChIP-PET, we identified in a genome-wide manner over 7700 DNA binding sites of the transcription factor PPARγ and its heterodimeric partner RXR during the course of adipocyte differentiation.

These replication dependent (RD) genes lack introns, are typically organized in gene clusters and their mRNAs possess a conserved stem-loop (SL) in the 3'UTR coupling gene expression to DNA replication.

In the present work, normal human myelopoiesis was analyzed at the genomic level, coupling gene expression data with advanced bioinformatics tools and knowledge on sequence and annotation of the human genome.

We have also demonstrated that ribosome occupancy was a major determinan of protein level, revealing the high influence of translational regulations in the process coupling gene expression to protein synthesis.

Coupling gene expression to analysis of signal transduction and metabolic pathways would provide a rapid and robust means to identify novel and canonical resistance mechanisms that could be tested in vivo.

In this study, we use structured association mapping to reanalyze the yeast eQTL dataset available from Brem and Kruglyak [ 13] with a new focus on uncovering the genetic basis behind the coupled gene-expression traits.

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